AI-Empowered Baseball Broadcasts Driving Multimodal Event Tagging Technologies
Technology Introduction:
BaseballMind is an AI-powered baseball broadcasting system that integrates domain-fine-tuned ASR, LLM-based intent and slot parsing, and a YOLO–OCR scoreboard state machine. It performs temporal alignment and cross-modal validation across broadcast audio, captions, and video to automatically detect key events such as home runs, strikeouts, and walks while resolving player nicknames. Structured event tagging enables natural-language or voice queries to instantly locate and retrieve relevant video clips, supporting real-time production, highlight editing, and intelligent content services.
Industrial Applications:
The event-driven architecture targets three verticals: coaching teams gain rapid retrieval of situational clips for opponent scouting and player performance analysis; broadcast production teams automate highlight indexing and reduce post-production workload; fan engagement platforms enable natural language search without database expertise. The structured event schema—covering inning, count, base state, and pitcher-batter matchup—supports cross-season analytics and multi-sport portability.
National Taiwan University of Science And Technology
National Taiwan University of Science and Technology (NTUST) is Taiwan's premier university of science and technology, emphasizing innovation, engineering, design, and industry collaboration.
Contact Information
Name：SHIH-PING CHIU
Tel：02-2730-3702
Address：No.43, Keelung Rd., Sec.4, Da’an Dist., Taipei 10607, Taiwan
